Decision-Making Processes Used by Canadian National Sport Organization Boards: Differences Between Design Archetypes
Bibliographic record
Abstract
This paper examines the decision-making role of Canadian national sport organization boards, identifies the processes used to facilitate decision making by these boards, and explores whether these elements differ between the various design archetypes that exist among these organizations. Forty-five semistructured interviews were conducted with board members and senior staff of 22 Canadian national sport organizations, and data were thematically analyzed. Findings indicate board members and senior staff focused on strategy as their primary role, along with control over other roles (e.g., providing advice and counsel or securing resources). Roles differed according to the organization’s design archetype. Our analysis showed clear differences between design archetypes in terms of how these the organizations used structural artifacts such as subcommittees to facilitate decision making, navigated decision rights between board members and paid staff, and adhered to the Carver policy governance model promoted for national sport organizations by Sport Canada.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".